[Early detection and treatment of panic disorder with or without agoraphobia: update].
Bibliographic record
Abstract
OBJECTIVE: To describe for family physicians screening, diagnosis, and treatment of panic disorder with or without agoraphobia (PD/A). QUALITY OF EVIDENCE: Articles were identified through PsycLIT, PsyINFO, and MEDLINE (1985 to 2006) using the terms panic disorder, psychotherapy, psychosocial treatment, treatment, and pharmacotherapy. Recommendations on treatment choices and guidelines are based on data from high-quality studies only. Information about assessment and diagnosis of PD/A is supported by the most recent epidemiologic studies, as well as expert consensus and opinion. MAIN MESSAGE: Panic disorder with or without agoraphobia is a psychiatric disease frequently encountered in primary care. It appears to be underdiagnosed and undertreated in this medical setting. Early successful screening requires a focus on unexplained symptoms and specific questions aimed at identifying panic attacks and their meaning for patients. The treatment of choice for PD/A is cognitive-behavioral therapy administered by a specialized psychologist or psychiatrist. When such therapy is hard to come by or unavailable, family physicians can prescribe drug therapy. CONCLUSION: Family physicians can contribute greatly to early detection and treatment of PD/A.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".